Neurofuzzy recognition and generation of facial features in talking heads

Author

Garzon, Max H. ; Ankaraju, Prashant ; Drumwright, Evan ; Kozma, Robert

Author_Institution

Dept. of Comput. Sci., Univ. of Memphis, TN, USA

Volume

2

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

926

Lastpage

931

Abstract

We show that fuzzy neural nets can rate the emotional feedback message implicit in human facial expressions at a level comparable to human performance. We also identify primitive and derived features in facial expressions and animations. We also report on a partial solution to the difficult inverse problem of generating naturalistic facial expressions from summary abstract descriptions of the emotional feedback to be conveyed

Keywords

computer animation; face recognition; fuzzy neural nets; graphical user interfaces; inverse problems; realistic images; speech-based user interfaces; anthropomorphic representations; derived features; emotional feedback message rating; facial animations; facial features generation; facial features recognition; fuzzy neural nets; human facial expressions; human performance; inverse problem; naturalistic facial expression generation; neurofuzzy recognition; primitive features; summary abstract descriptions; talking heads; Face recognition; Facial animation; Facial features; Fuzzy neural networks; Humans; Inverse problems; Mouth; Neural networks; Neurofeedback; Ontologies;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-7280-8

Type

conf

DOI

10.1109/FUZZ.2002.1006628

Filename

1006628